About This Chapter
Interpreting Statistical Data - Chapter Summary
In this engaging chapter, you'll learn about the problems that may come up in research. Some of these problems relate to sampling.
Different types of biases are also addressed in this chapter. Lessons will teach you how certain events can affect data. After completing these lessons, you will have more knowledge regarding:
- Probability and non-probability sampling methods and related issues
- Definition of research populations
- Perception and self-serving bias
- Interpreting behavior
- Testing and cultural biases
- Definition and examples of cognitive bias
- Observational learning theories
- Research methods
- Observational and field research
- Experimental and non-experimental research
- Experimental design
Videos average around 5-10 minutes long, and they come with quizzes. Watch a video taught by professional instructors and then take a quiz to see how much information you can recall. If you need to revisit a topic, use the video tags located at the bottom of every video. There are also lesson transcripts available, which can help you review key terms from this chapter.
1. Issues in Probability & Non-Probability Sampling
Choosing a sample is an important part of research. The two methods of sampling both come with their own set of issues. In this lesson, we'll look at the issues with probability and non-probability sampling.
2. Samples & Populations in Research: Definition
When planning an experiment, you will likely use groups of participants. This lesson explores the types of groups an experimenter can collect data from and the reason why there are different groups.
3. Self-Serving Bias: Definition & Examples
This lesson provides an overview of the self-serving bias, together with specific examples. The lesson also offers a short quiz to help you gauge your level of understanding.
4. Perception, Bias & Interpreting Behavior
Have you ever wondered why two people can experience the same event, but give two different accounts of what happened? In this lesson, you will learn about how perception and bias play a role in how we interpret our world.
5. Testing Bias, Cultural Bias & Language Differences in Assessments
Assessments are used to gain useful information about test-takers' knowledge, skills and progress. Sometimes, however, the results of these assessments are incorrect due to biases. This lesson will differentiate and discuss types of testing bias and differences among test-takers that may lead to testing bias.
6. Cognitive Bias: Definition & Examples
Cognitive biases are errors in thinking that influence how we make decisions. Learn more about cognitive bias from examples, and test your knowledge with a quiz.
7. Observational Learning: Definition, Theory & Examples
Observational learning goes on around us everyday. In this lesson, you will learn to identify the four steps in observational learning by examining a normal event. Test your understanding with the short quiz at the end.
8. Research Methods: Observation, Focus Groups & More
Primary research methods allow you to go beyond the general information you can obtain through secondary sources. This video provides explanations of several primary research methods, including observations, inspections, experiments, surveys, and interest groups.
9. How Observational & Field Research Are Used to Collect Data
Psychologists have many different options for where and how to do research. Watch this video to learn more about the difference in field and lab research and the advantages and disadvantages of observational research
10. Non-Experimental and Experimental Research: Differences, Advantages & Disadvantages
How is a non-experimental design scientific? We will look at what it means to use experimental and non-experimental designs in the course of psychological research. We will also look at some classic examples of different types of research.
11. Advantages & Disadvantages of Various Experimental Designs
There are many different options for researchers when deciding how to run a study. In this lesson, we'll look at some of the advantages and disadvantages of some common experimental designs.
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